The issue of fault diagnostics is a dominant factor concerning current engineering
systems. Information regarding possible failures is required in order to minimise
disruption caused to functionality. A method proposed in this paper utilises digraphs
to model the information flow within a system. Digraphs are comprised from a set of
nodes representing system process variables or component failure modes. The nodes
are connected by signed edges thus illustrating the influence, be it positive or
negative, one node has on another.
Fault diagnostics is conducted through a procedure of back-tracing in the digraph
from a known deviating variable. A computational method has been developed to
conduct this process. Comparisons are made between retrieved transmitter readings
and those expected whilst the system is in a known operating mode. Any noted
deviations are assumed to indicate the presence of a failure.
This paper looks in detail at the application of the digraph diagnostic method to an
industrially based test stand of an aircraft fuel system. Several operational phases of
the system are investigated, with primary significance, with regards to system
reliability, given to engine feed from the active supply tanks. This research includes
transient system effects; with the rate of change of a parameter taken into
consideration as a means of monitoring the system dynamically. The paper concludes
with the evaluation and assessment of the validity of the results achieved.
History
School
Aeronautical, Automotive, Chemical and Materials Engineering
Department
Aeronautical and Automotive Engineering
Citation
KELLY, E.M. and BARTLETT, L.M., 2007. Aircraft fuel rig system fault diagnostics using digraphs. IN: Proceedings of the 17th Advances in Reliability Technology Symposium (ARTS) , Loughborough, UK, 2007. pp. 77-89.